Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2012 (2012), Article ID 418946, 15 pages
http://dx.doi.org/10.1100/2012/418946
Research Article

A Bat Algorithm with Mutation for UCAV Path Planning

1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2Graduate School of Chinese Academy of Sciences, Beijing 100039, China
3School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China

Received 9 October 2012; Accepted 20 November 2012

Academic Editors: E. Acar and I.-S. Jeung

Copyright © 2012 Gaige Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [39 citations]

The following is the list of published articles that have cited the current article.

  • Gai-Ge Wang, Amir Hossein Gandomi, and Amir Hossein Alavi, “An Effective Krill Herd Algorithm with Migration Operator in Biogeography-based Optimization,” Applied Mathematical Modelling, 2013. View at Publisher · View at Google Scholar
  • Yongquan Zhou, Jian Xie, and Hongqing Zheng, “A Hybrid Bat Algorithm with Path Relinking for Capacitated Vehicle Routing Problem,” Mathematical Problems in Engineering, vol. 2013, pp. 1–10, 2013. View at Publisher · View at Google Scholar
  • Gaige Wang, Lihong Guo, Amir Hossein Gandomi, Lihua Cao, Amir Hossein Alavi, Hong Duan, and Jiang Li, “Lévy-Flight Krill Herd Algorithm,” Mathematical Problems in Engineering, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Gaige Wang, and Lihong Guo, “A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization,” Journal of Applied Mathematics, vol. 2013, pp. 1–21, 2013. View at Publisher · View at Google Scholar
  • Jian Xie, Yongquan Zhou, and Hongqing Zheng, “A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm,” Journal of Applied Mathematics, vol. 2013, pp. 1–8, 2013. View at Publisher · View at Google Scholar
  • Mingzhen Shao, Lihong Guo, Gaige Wang, Hong Duan, Heqi Wang, and Luo Liu, “Hybridizing Harmony Search with Biogeography Based Optimization for Global Numerical Optimization,” Journal Of Computational And Theoretical Nanoscience, vol. 10, no. 10, pp. 2312–2322, 2013. View at Publisher · View at Google Scholar
  • Gai-Ge Wang, Amir Hossein Gandomi, and Amir Hossein Alavi, “A chaotic particle-swarm krill herd algorithm for global numerical optimization,” Kybernetes, vol. 42, no. 6, pp. 962–978, 2013. View at Publisher · View at Google Scholar
  • Xin-She Yang, and Xingshi He, “Bat algorithm: literature review and applications,” International Journal Of Bio-Inspired Computation, vol. 5, no. 3, pp. 141–149, 2013. View at Publisher · View at Google Scholar
  • Gai-Ge Wang, Amir Hossein Gandomi, Xin-She Yang, and Amir Hossein Alavi, “A novel improved accelerated particle swarm optimization algorithm for global numerical optimization,” Engineering Computations, vol. 31, no. 7, pp. 1198–1220, 2014. View at Publisher · View at Google Scholar
  • Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi, and Guo-Sheng Hao, “Hybrid krill herd algorithm with differential evolution for global numerical optimization,” Neural Computing & Applications, vol. 25, no. 2, pp. 297–308, 2014. View at Publisher · View at Google Scholar
  • Junpeng Li, Yinggan Tang, Changchun Hua, and Xinping Guan, “An improved krill herd algorithm: Krill herd with linear decreasing step,” Applied Mathematics and Computation, vol. 234, pp. 356–367, 2014. View at Publisher · View at Google Scholar
  • Jinchao Guo, Yu Gao, and Guangzhao Cui, “The navigation of mobile robot based on hybrid Dijkstra algorithm,” Journal of Computational Information Systems, vol. 10, no. 9, pp. 3879–3886, 2014. View at Publisher · View at Google Scholar
  • Lihong Guo, Hong Duan, and Heqi Wang, “A New Improved Firefly Algorithm for Global Numerical Optimization,” Journal of Computational and Theoretical Nanoscience, vol. 11, no. 2, pp. 477–485, 2014. View at Publisher · View at Google Scholar
  • Hong Duan, Lihong Guo, Gaige Wang, Amir Hossein Gandomi, and Amir Hossein Alavi, ““A New Improved Krill Herd Algorithm for Global Numerical Optimization”,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • Bai Li, Li-gang Gong, and Wen-lun Yang, “An Improved Artificial Bee Colony Algorithm Based on Balance-Evolution Strategy for Unmanned Combat Aerial Vehicle Path Planning,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Adetunji Oduyela, and Nathan Slegers, “Gust Mitigation of Micro Air Vehicles Using Passive Articulated Wings,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Qifang Luo, Yongquan Zhou, Jian Xie, Mingzhi Ma, and Liangliang Li, “Discrete Bat Algorithm for Optimal Problem of Permutation Flow Shop Scheduling,” The Scientific World Journal, vol. 2014, pp. 1–15, 2014. View at Publisher · View at Google Scholar
  • S. Talatahari, A. Hosseini, S. R. Mirghaderi, and F. Rezazadeh, “Optimum Performance-Based Seismic Design Using a Hybrid Optimization Algorithm,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Xingjuan Cai, Lei Wang, Qi Kang, and Qidi Wu, “Bat algorithm with Gaussian walk,” International Journal of Bio-Inspired Computation, vol. 6, no. 3, pp. 166–174, 2014. View at Publisher · View at Google Scholar
  • Luo Jun, Liu Liheng, and Wu Xianyi, “A double-subpopulation variant of the bat algorithm,” Applied Mathematics and Computation, vol. 263, pp. 361–377, 2015. View at Publisher · View at Google Scholar
  • Mridul Chawla, and Manoj Duhan, “Bat Algorithm: A Survey Of The State-Of-The-Art,” Applied Artificial Intelligence, vol. 29, no. 6, pp. 617–634, 2015. View at Publisher · View at Google Scholar
  • Iztok Fister, Samo Rauter, Xin-She Yang, Karin Ljubic, and Iztok Fister, “Planning the sports training sessions with the bat algorithm,” Neurocomputing, vol. 149, pp. 993–1002, 2015. View at Publisher · View at Google Scholar
  • Neeraj Kanwar, Nikhil Gupta, K. R. Niazi, and Anil Swarnkar, “Optimal distributed generation allocation in radial distribution systems considering customer-wise dedicated feeders and load patterns,” Journal Of Modern Power Systems And Clean Energy, vol. 3, no. 4, pp. 475–484, 2015. View at Publisher · View at Google Scholar
  • Yongquan Zhou, Liangliang Li, and Mingzhi Ma, “A Novel Hybrid Bat Algorithm for the Multilevel Thresholding Medical Image Segmentation,” Journal Of Medical Imaging And Health Informatics, vol. 5, no. 8, pp. 1742–1746, 2015. View at Publisher · View at Google Scholar
  • Guo Zhou, Yongquan Zhou, Liangliang Li, and Mingzhi Ma, “Modified bat algorithm with Otsu's method for multilevel thresholding image segmentation,” Journal of Computational and Theoretical Nanoscience, vol. 12, no. 11, pp. 4560–4572, 2015. View at Publisher · View at Google Scholar
  • Yongquan Zhou, Zongfan Bao, Rui Wang, Shilei Qiao, and Yuxiang Zhou, “Quantum Wind Driven Optimization for Unmanned Combat Air Vehicle Path Planning,” Applied Sciences, vol. 5, no. 4, pp. 1457–1483, 2015. View at Publisher · View at Google Scholar
  • Iztok Fister, Xin-She Yang, Janez Brest, Dusan Fister, and Iztok Fister, “Analysis of randomisation methods in swarm intelligence,” International Journal Of Bio-Inspired Computation, vol. 7, no. 1, pp. 36–49, 2015. View at Publisher · View at Google Scholar
  • Sen Zhang, Wei Pan, Yongquan Zhou, and Zhiming Li, “Grey Wolf optimizer for unmanned combat aerial vehicle path planning,” Advances in Engineering Software, vol. 99, pp. 121–136, 2016. View at Publisher · View at Google Scholar
  • Shonak Bansal, Arun Kumar Singh, and Neena Gupta, “Optimal Golomb Ruler Sequences Generation for Optical WDM Systems: A Novel Parallel Hybrid Multi-objective Bat Algorithm,” Journal of The Institution of Engineers (India): Series B, 2016. View at Publisher · View at Google Scholar
  • Zeeshan Shareef, and Ansgar Traechtler, “Simultaneous path planning and trajectory optimization for robotic manipulators using discrete mechanics and optimal control,” Robotica, vol. 34, no. 6, pp. 1322–1334, 2016. View at Publisher · View at Google Scholar
  • Yongquan Zhou, and Rui Wang, “An Improved Flower Pollination Algorithm for Optimal Unmanned Undersea Vehicle Path Planning Problem,” International Journal Of Pattern Recognition And Artificial Intelligence, vol. 30, no. 4, 2016. View at Publisher · View at Google Scholar
  • Jeremy Straub, “Consideration of the use of autonomous, non-recallable unmanned vehicles and programs as a deterrent or threat by state actors and others,” Technology in Society, vol. 44, pp. 39–47, 2016. View at Publisher · View at Google Scholar
  • Boyang Zhang, Haiwen Yuan, Lingjie Sun, Jian Shi, Zhao Ma, and Limei Zhou, “A two-stage framework for bat algorithm,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Gai-Ge Wang, Haicheng Eric Chu, and Seyedali Mirjalili, “Three-dimensional path planning for UCAV using an improved bat algorithm,” Aerospace Science and Technology, vol. 49, pp. 231–238, 2016. View at Publisher · View at Google Scholar
  • Anupam Shukla, Ritu Tiwari, and Sanjeev Sharma, “Multi robot area exploration using nature inspired algorithm,” Biologically Inspired Cognitive Architectures, vol. 18, pp. 80–94, 2016. View at Publisher · View at Google Scholar
  • Seyedali Mirjalili, “SCA: A Sine Cosine Algorithm for Solving Optimization Problems,” Knowledge-Based Systems, 2016. View at Publisher · View at Google Scholar
  • Ransikarn Ngambusabongsopa, and Zhiyong Li, “Bat-mutation chemical reaction optimization algorithm for conflict optimization problem: Case of bandwidth utilization,” Journal of Computational and Theoretical Nanoscience, vol. 14, no. 10, pp. 5118–5127, 2017. View at Publisher · View at Google Scholar
  • Yongquan Zhou, Qifang Luo, and Liangliang Li, “A quantum encoding bat algorithm for uninhabited combat aerial vehicle path planning,” International Journal of Innovative Computing and Applications, vol. 8, no. 3, pp. 182–193, 2017. View at Publisher · View at Google Scholar
  • Yawei Cai, Hui Zhao, Mudong Li, and Hanqiao Huang, “3D real-time path planning based on cognitive behavior optimization algorithm for UAV with TLP model,” Cluster Computing, 2018. View at Publisher · View at Google Scholar